Comparison of black-grey-white box approach in system identification of a flight vehicle

Developing an autonomous flight control system for a fixed-wing unmanned aerial vehicle (UAV) requires the mathematical representation of the system dynamics which can be obtained through system identification, such as using white, grey or black box methods. In this paper, three system identificatio...

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Bibliographic Details
Published in:Journal of physics. Conference series 2018-11, Vol.1130 (1), p.12024
Main Authors: Nugroho, L, Akmeliawati, R
Format: Article
Language:English
Subjects:
Aerodynamic coefficients
Empirical analysis
Flight conditions
Flight control systems
Flight simulators
Flight vehicles
Identification methods
Mathematical models
System dynamics
System identification
Unmanned aerial vehicles
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Summary:Developing an autonomous flight control system for a fixed-wing unmanned aerial vehicle (UAV) requires the mathematical representation of the system dynamics which can be obtained through system identification, such as using white, grey or black box methods. In this paper, three system identification methods; white method modeling using Cook formulas which is used analytically to develop the linear-time-invariant model structure with the aerodynamic coefficients of the UAV extracted from Missile DATCOM computations at certain flight conditions, and two empirical mathematical models constructed from non-linear flight simulator defined as the Greyification of Black Box Model (B2G) and Direct Grey to White Linkage (G2W). The comparison shows that both empirical methods prove to be very instrumental to contrast and produce higher sense of engineering than the analytical one
ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/1130/1/012024